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- Dhaka, Bangladesh
- https://uzzal.dev/
- @Uzzal_PyDev
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LinkedIn_AIHawk is a tool that automates the jobs application process on LinkedIn. Utilizing artificial intelligence, it enables users to apply for multiple job offers in an automated and personaliβ¦
An incredibly simple, open-source alternative to Loom that only requires S3-compatible storageβno servers needed
Autonomous coding agent right in your IDE, capable of creating/editing files, executing commands, and more with your permission every step of the way.
Open Source Alternative to Vercel, Netlify and Heroku.
Rembg is a tool to remove images background
The world's simplest facial recognition api for Python and the command line
A self-hosted file sharing platform that combines lightness and beauty, perfect for seamless and efficient file sharing.
get books from ebanglalibrary's website. We are commited to use scraping responsibly and for personal use only.
Free and Open Source Machine Translation API. Self-hosted, offline capable and easy to setup.
Official inference repo for FLUX.1 models
Porting Shadcn-ui components to python/js for use with fasthtml
Generative AI suite powered by state-of-the-art models and providing advanced AI/AGI functions. It features AI personas, AGI functions, multi-model chats, text-to-image, voice, response streaming, β¦
π§π WIFI / LAN intruder detector. Scans for devices connected to your network and alerts you if new and unknown devices are found.
Django Authentication Backend For Passkeys
Rust library and CLI tool for OCR (extracting text from images)
docTR (Document Text Recognition) - a seamless, high-performing & accessible library for OCR-related tasks powered by Deep Learning.
Django webhooks triggered on model changes
A slick ORM cache with automatic granular event-driven invalidation.
Web/API Gateway with user profiles, billing, and subscription-based access control
Django application for software-as-service and subscription businesses
Scrape the web in the eink era. Convert websites into ebooks and markdown.
Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.
Enhance Tesseract OCR output for scanned PDFs by applying Large Language Model (LLM) corrections.